Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

MAY 31, 2023

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. There are now many more applications, tools, and infrastructure variables that impact an application’s performance and availability.

Best Practices 219

Best Practices DevOps Latency Metrics 219

Dynatrace

OCTOBER 23, 2023

Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

Efficiency 210

Efficiency Virtualization Hardware Performance 210

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. SLOs improve software quality.

Software 259

Software Software Benchmarking Latency 259

Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 252

Engineering DevOps Government Latency 252

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. So, what is ITOps?

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

JUNE 1, 2023

Five SLO examples for faster, more reliable apps Once you get started with these service-level objective examples, you can branch out to develop more targeted SLOs suited for your business. It represents the percentage of time a system or service is expected to be accessible and functioning correctly.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. The architects and developers who create the software must design it to be observed. Dynatrace news.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. It helps developers and operators identify and troubleshoot issues, optimize performance and improve user experience. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 203

Serverless Lambda Azure AWS 203

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. There is no need to plan for extra resources, update operating systems, or install frameworks. The provider is essentially your system administrator. What is serverless computing?

Serverless 242

Serverless Efficiency Lambda Azure 242

High Scalability

FEBRUARY 19, 2021

This means a system that is not merely available but is also engineered with extensive redundant measures to continue to work as its users expect. Fault tolerance The ability of a system to continue to be dependable (both available and reliable) in the presence of certain component or subsystem failures.

Engineering 215

Engineering Systems Scalability Availability 215

Scalegrid

JANUARY 8, 2024

AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI. Another significant trend is the expansion of edge computing in AI cloud computing.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 173

Engineering DevOps Government Latency 173

Dynatrace

APRIL 6, 2022

Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Observability across the full technology stack gives teams comprehensive, real-time insight into the behavior, performance, and health of applications and their underlying infrastructure.

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Dynatrace

JULY 24, 2023

The evolution of DevOps automation Since the concept of DevOps emerged around 2007 and 2008 in response to pain points with Agile development, DevOps automation has been continuously evolving. As a result, it saves critical developer time and expedites the mean time to resolution (MTTR).

DevOps 217

DevOps Traffic Efficiency Servers 217

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 243

AWS Efficiency Azure Cloud 243

Dynatrace

APRIL 5, 2021

These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests. Where does Lambda fit in the AWS ecosystem?

Lambda 178

Lambda AWS Serverless Hardware 178

Scalegrid

OCTOBER 24, 2019

As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure. AWS High Performance XLarge (see system details below). MySQL on AWS Performance Test. Amazon RDS.

AWS 183

AWS Latency Performance Benchmarking 183

All Things Distributed

MARCH 12, 2018

At Amazon, we are heavily invested in machine learning (ML), and are developing new tools to help developers quickly and easily build, train, and deploy ML models. Conversations continue over time, and develop history, which in turn builds richer context. People interact with many different applications and systems at work.

Systems 110

Systems AWS Games Transportation 110

High Scalability

JANUARY 11, 2022

Currently, he is in the Alexa Shopping organization where he is developing machine-learning-based solutions to send personalized reorder hints to customers for improving their experience. The streaming data store makes the system extensible to support other use-cases (e.g. System Components. Problem Statement. Optimization.

Design 334

Design Media Storage Logistics 334

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

ACM Sigarch

MARCH 18, 2019

Computer systems, from the Internet-of-Things devices to datacenters, are complex and optimizing them can enhance capability and save money. Developing simulators, however, is time-consuming and requires a great deal of infrastructure development regarding a prospective system. Answered in Part 2.).

Systems 60

Systems Latency Performance Analytics 60

The Netflix TechBlog

SEPTEMBER 8, 2020

How we migrated our Android endpoints out of a monolith into a new microservice by Rohan Dhruva , Ed Ballot As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON. It was a Node.js Java…Script? For the migration, testing was a first-class citizen.

Latency 233

Latency Cache Java Traffic 233

The Netflix TechBlog

AUGUST 30, 2021

The Partner Infrastructure team at Netflix provides solutions to support these two significant efforts by enabling device management at scale. Together, they form the Device Management Platform, which is the infrastructural foundation for Netflix Test Studio (NTS).

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

JANUARY 13, 2022

Synthetic monitoring is also useful for developing baselines of performance. Analyzing a clinician’s clickstream when using an electronic medical record system to better improve the efficiency of data entry. Providing insight into the service latency to help developers identify poorly performing code. Learn more!

Monitoring 176

Monitoring Latency Mobile Best Practices 176

Scalegrid

MARCH 22, 2024

Deploying a multi-cloud environment involves a concerted effort in planning, negotiation with vendors, skill development, and understanding the advanced use cases of a multi-cloud approach for tailored industry solutions and compliance. They can also bolster uptime and limit latency issues or potential downtimes.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

MAY 27, 2021

This new extension allows customers to deploy native Amazon ECS tasks in any target environment including traditional AWS managed infrastructure and now customer-managed infrastructure. Host registration to the ECS cluster is managed by System Manger and governed by AWS Identity and Access Manager (IAM). AWS System Manager.

AWS 131

AWS IoT Virtualization Infrastructure 131

Dynatrace

DECEMBER 22, 2021

Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. Logs are files that record events in a system, such as the start of a subprocess or the trapping of an error.

Artificial Intelligence 175

Artificial Intelligence Metrics Architecture DevOps 175

Dynatrace

DECEMBER 2, 2021

Error budgets allow development teams to make informed decisions between new development vs operations and polishing existing software. Properly set and defined SLOs should have error budgets that give developers space to innovate without impacting operations. For example, if your SLO guarantees 99.5% What are SLIs?

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

Dynatrace

OCTOBER 4, 2021

API monitoring captures and analyzes metrics that describe the vital aspects of an application’s performance, which can help developers gain a deeper understanding of the health and efficiency of the APIs they’re utilizing. For example, some developers may be using an old version of an API that will soon be deprecated.

Monitoring 175

Monitoring Latency Metrics Availability 175

Dynatrace

JANUARY 18, 2023

DevOps and SRE: Methodologies that are transforming software development with the help of DevOps observability. DevOps is a software delivery methodology that comprises flexible practices and processes to create and deliver applications and services, ultimately closing the gap between software development and IT operations.

DevOps 194

DevOps Best Practices Innovation Strategy 194

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking.

AWS 100

AWS Entertainment Open Source Benchmarking 100

Dynatrace

SEPTEMBER 30, 2021

Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. In cloud computing environments, infrastructure and services are maintained by the cloud vendor, allowing you to focus on how best to serve your customers. However, it can also mean migrating from one cloud to another.

Cloud 163

Cloud Traffic Best Practices Strategy 163